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Exploring endothelial dysfunction in major rheumatic diseases: current trends and future directionsNARA Subscribed
The relationship between rheumatic diseases (RDs) and endothelial dysfunction (ED) is intricate and multifaceted, with chronic inflammation and immune system dysregulation playing key roles. RDs, including Osteoarthritis (OA), Rheumatoid arthritis (RA), Systemic Lupus erythematosus (SLE), Ankylosing spondylitis (AS), Psoriatic arthritis (PsA), Sjogren’s syndrome (SS), Systemic sclerosis (SSc), Polymyalgia rheumatica (PMR) are...
Genomic insights and advanced machine learning: characterizing autism spectrum disorder biomarkers and genetic interactionsNARA Subscribed
Autism Spectrum Disorder (ASD) is a complex neurodevelopmental condition characterized by altered brain connectivity and function. In this study, we employed advanced bioinformatics and explainable AI to analyze gene expression associated with ASD, using data from five GEO datasets. Among 351 neurotypical controls and 358 individuals with autism, we identified 3,339 Differentially Expressed Genes (DEGs) with an adjusted p-valu...
Alzheimer disease (AD) is a leading cause of dementia in elderly patients who continue to live between 3 and 11 years of diagnosis. A steep rise in AD incidents is observed in the elderly population in East-Asian countries. The disease progresses through several changes, including memory loss, behavioural issues, and cognitive impairment. The etiology of AD is hard to determine because of its complex nature. The whole exome se...
Circular RNAs (circRNAs) are regulatory elements that are involved in orchestrating gene expression and protein functions and are implicated in various biological processes including cancer. Notably, breast cancer has a significant mortality rate and is one of the most common malignancies in women. CircRNAs have been demonstrated to contribute to the pathogenesis of breast cancer including its initiation, progression, metastas...
The progressive, chronic nature of Alzheimer's disease (AD), a form of dementia, defaces the adulthood of elderly individuals. The pathogenesis of the condition is primarily unascertained, turning the treatment efficacy more arduous. Therefore, understanding the genetic etiology of AD is essential to identifying targeted therapeutics. This study aimed to use machine-learning techniques of expressed genes in patients with AD to...
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